DABT: A Dependency-aware Bug Triaging Method

Jahanshahi, Hadi; Chhabra, Kritika; Çevik, Mücahit; Baþar, Ayþe

doi:10.1145/3463274.3463342

Cited by 16 publications

(21 citation statements)

References 11 publications

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“…A few researchers consider the relationship between software defects in the developer assignment task of studying software defects [12,25,26]. Almhana and Kessentini [25] proposed a defect classification method based on the dependency between defect reports, which defined the dependency between two defect reports as the number of shared files to be inspected to localize the defects.…”

Section: Defect Relationship-based Approachmentioning

confidence: 99%

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Developer Assignment Method for Software Defects Based on Related Issue Prediction

Liu,

Zhang,

Liu

et al. 2024

Mathematics

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The open-source software platform hosts a large number of software defects, and the task of relying on administrators to manually assign developers is often time consuming. Thus, it is crucial to determine how to assign software defects to appropriate developers. This paper presents DARIP, a method for assigning developers to address software defects. First, the correlation between software defects and issues is considered, predicting related issues for each defect and comprehensively calculating the textual characteristics of the defect using the BERT model. Second, a heterogeneous collaborative network is constructed based on the three development behaviors of developers: reporting, commenting, and fixing. The meta-paths are defined based on the four collaborative relationships between developers: report–comment, report–fix, comment–comment, and comment–fix. The graph-embedding algorithm metapath2vec extracts developer characteristics from the heterogeneous collaborative network. Then, a classifier based on a deep learning model calculates the probability assigned to each developer category. Finally, the assignment list is obtained according to the probability ranking. Experiments on a dataset of 20,280 defects from 9 popular projects show that the DARIP method improves the average of the Recall@5, the Recall@10, and the MRR by 31.13%, 21.40%, and 25.45%, respectively, compared to the state-of-the-art method.

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Section: Defect Relationship-based Approachmentioning

confidence: 99%

“…They leverage the dependencies to help resolve the task of developer assignment on the Mozilla platform. Jahanshahi et al [26] discovered that some software defects may be blocked by others during the repair process. They studied how to assign developers for software defects based on their blocking relationships.…”

Section: Introductionmentioning

confidence: 99%

Developer Assignment Method for Software Defects Based on Related Issue Prediction

Liu,

Zhang,

Liu

et al. 2024

Mathematics

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“…Jahanshahi et al proposed DABT [110], a method that considers bug dependency and factors such as developers' fix time. They first built a bug dependency graph (BDG) to represent the existence of dependencies among bugs.…”

Section: Machine Learning Approaches For Deduplication and Triagementioning

confidence: 99%

A Survey on Bug Deduplication and Triage Methods from Multiple Points of View

Qian,

Zhang,

Nie

et al. 2023

Applied Sciences

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To address the issue of insufficient testing caused by the continuous reduction of software development cycles, many organizations maintain bug repositories and bug tracking systems to ensure real-time updates of bugs. However, each day, a large number of bugs is discovered and sent to the repository, which imposes a heavy workload on bug fixers. Therefore, effective bug deduplication and triage are of great significance in software development. This paper provides a comprehensive investigation and survey of the recent developments in bug deduplication and triage. The study begins by outlining the roadmap of the existing literature, including the research trends, mathematical models, methods, and commonly used datasets in recent years. Subsequently, the paper summarizes the general process of the methods from two perspectives—runtime information-based and bug report-based perspectives—and provides a detailed overview of the methodologies employed in relevant works. Finally, this paper presents a detailed comparison of the experimental results of various works in terms of usage methods, datasets, accuracy, recall rate, and F1 score. Drawing on key findings, such as the need to improve the accuracy of runtime information collection and refine the description information in bug reports, we propose several potential future research directions in the field, such as stack trace enrichment and the combination of new NLP models.

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“…Their technique reduced the overdue bugs and improved the bug-fixing time. However, they limited their work by assuming that each developer can work on only a single report at a time, which is not a realistic scenario in practice [27].…”

Section: Related Workmentioning

confidence: 99%

Toward an Effective Bug Triage System Using Transformers to Add New Developers

2022

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As defects become more widespread in software development and advancement, bug triaging has become imperative for software testing and maintenance. The bug triage process assigns an appropriate developer to a bug report. Many automated and semiautomated systems have been proposed in the last decade, and some recent techniques have provided direction for developing an effective triage system. However, these techniques still require improvement. Another open challenge related to this problem is adding new developers to the existing triage system, which is challenging because the developers have no listed triage history. This paper proposes a transformer-based bug triage system that uses bidirectional encoder representation from transformers (BERT) for word representation. The proposed model can add a new developer to the existing system without building a training model from scratch. To add new developers, we assumed that new developers had a triage history created by a manual triager or human triage manager after learning their skills from the existing developer history. Then, the existing model was fine-tuned to add new developers using the manual triage history. Experiments were conducted using datasets from well-known large-scale open-source projects, such as Eclipse and Mozilla, and top-k accuracy was used as a criterion for assessment. The experimental outcome suggests that the proposed triage system is better than other word-embedding-based triage methods for the bug triage problem. Additionally, the proposed method performs the best for adding new developers to an existing bug triage system without requiring retraining using a whole dataset.

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DABT: A Dependency-aware Bug Triaging Method

Cited by 16 publications

References 11 publications

Developer Assignment Method for Software Defects Based on Related Issue Prediction

Developer Assignment Method for Software Defects Based on Related Issue Prediction

A Survey on Bug Deduplication and Triage Methods from Multiple Points of View

Toward an Effective Bug Triage System Using Transformers to Add New Developers

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